Ricardo Cuéllar Romero

Cross-etiology transcriptomic conservation in hepatocellular carcinoma reveals opposing proliferation and hepatocyte-loss programs validated across cohorts

The paper identifies conserved transcriptomic programs in HBV- and HCV-associated HCC, revealing opposing proliferation and hepatocyte-loss modules validated across cohorts.

Identification of Potential Therapeutic Targets and Biomarkers for Glioblastomas Through Integrative Analysis of Gene Expression Data

This study identifies up-regulated hub genes and potential VEGFA inhibitors in glioblastomas using gene expression data and virtual screening, proposing new therapeutic targets and biomarkers.

Identification and Functional Characterization of Up-Regulated Hub Genes in Adenocarcinoma Across Multiple Organ Sites

The paper identifies 10 up-regulated hub genes in adenocarcinoma across multiple organ sites and characterizes their regulatory networks and functional roles.

Identification of Hub Genes and CDK1-Targeting Therapeutics in Hepatocellular Carcinoma: Bioinformatics and Simulation Study

This study identifies hub genes and CDK1-targeting therapeutics in HCC using bioinformatics and molecular dynamics simulations, finding three promising compounds and two repurposed drugs.

Elucidating the Type 2 Diabetes Regulatory Network: Identification of EGFR as a Key Hub and Novel Drug Candidates

This study identifies EGFR as a key hub in the T2D regulatory network and discovers three novel drug candidates with favorable ADMET properties and strong EGFR binding.

Identification of Potential EGFR Inhibitors for Type 2 Diabetes and Pancreatic Cancer Treatment: A Computational Approach

This study identifies potential EGFR inhibitors through virtual screening and deep learning models, finding nine compounds that outperform existing drugs in bioactivity and druglikeness.